Sentence examples for more variability on from inspiring English sources

One of the causes was the data transmission time, which are higher and with more variability on farther than on nearer grid nodes.

Some common techniques used for checking unidimensionality are: eigenvalue plots (20%% or more variability on the first factor: Hattie, 1985), parallel analysis (Horn, 1965) or confirmatory factor analysis (testing the hypothesis of a single factor).

A simple mechanism to count the number of times a template has been used and penalize it in the error function would be sufficient to allow for more variability on the appearance of the document, but further investigation is still necessary.

The atrial wall is thinner, with less muscular mass; therefore, deformation measurements might display more variability on different ultrasound systems.

Instead of using full text documents, it aimed at providing more variability on the species names by using eight groups of 100 abstracts on the following categories: bacteriology, botany, entomology, medicine, mycology, protistology, virology, and zoology.

The lack of significant differences on these efficacy scales may be due to low levels of awareness about RWI prevention among parents, which leads to more variability on the threat scales and less on the efficacy scales.

Women are like baking a soufflé -- the outcome depends on the ingredients and the chef, sure, but it also depends on the reliability of the oven, the altitude, the humidity of the day... more variables, more variability".

However, the steady test accuracy of NGN vs. NN displayed more variability depending on the problem (Figure 4A).

The slightly better agreement of CD4 measured on ST on Day 7 can be seen by the negligible mean bias of −4.89 cells/μL and narrow 95% CI of mean bias (−18.34 to 8.54 cells/μL) versus 5.10 cells/μL and wider 95% CI of mean bias (−20.13 to 30.34 cells/μL) reflecting more variability in the agreement on Day 14.

We also show, using classical statistical and support vector machines techniques in a reanalysis of public data, that the external transcripts, i.e., transcripts other than the one being analysed, explain on average much more variability than the markers themselves.

But Φ60 and Φ100 have more variability, and less available historical information on which to estimate their distributions over many SPE occurrences, than does Φ30.